Triple
T7741584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silesian University of Technology |
E175521
|
entity |
| Predicate | hasFaculty |
P141
|
FINISHED |
| Object |
Faculty of Mining, Safety Engineering and Industrial Automation
The Faculty of Mining, Safety Engineering and Industrial Automation is an academic unit specializing in mining technologies, occupational safety, and industrial process automation within the Silesian University of Technology.
|
E686442
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Faculty of Mining, Safety Engineering and Industrial Automation | Statement: [Silesian University of Technology, hasFaculty, Faculty of Mining, Safety Engineering and Industrial Automation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faculty of Mining, Safety Engineering and Industrial Automation Context triple: [Silesian University of Technology, hasFaculty, Faculty of Mining, Safety Engineering and Industrial Automation]
-
A.
Faculty of Mining and Metallurgical Engineering
The Faculty of Mining and Metallurgical Engineering is an academic division specializing in education and research related to mineral resource extraction, processing, and materials metallurgy.
-
B.
Faculty of Mining and Petroleum Engineering
The Faculty of Mining and Petroleum Engineering is a specialized academic unit of Institut Teknologi Bandung focused on education and research in mining, petroleum, and related earth resource engineering disciplines.
-
C.
Faculty of Safety Engineering
The Faculty of Safety Engineering is a specialized faculty of VSB – Technical University of Ostrava focused on education and research in safety, risk management, and protection of people, property, and the environment.
-
D.
School of Mining Engineering
The School of Mining Engineering at the University of Tehran is a leading Iranian academic institution specializing in education and research in mining, mineral exploration, and related engineering fields.
-
E.
Faculty of Mining and Geology
The Faculty of Mining and Geology is an academic unit specializing in mining engineering, geology, and related earth sciences within the VSB – Technical University of Ostrava.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Faculty of Mining, Safety Engineering and Industrial Automation Triple: [Silesian University of Technology, hasFaculty, Faculty of Mining, Safety Engineering and Industrial Automation]
Generated description
The Faculty of Mining, Safety Engineering and Industrial Automation is an academic unit specializing in mining technologies, occupational safety, and industrial process automation within the Silesian University of Technology.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Faculty of Mining, Safety Engineering and Industrial Automation Target entity description: The Faculty of Mining, Safety Engineering and Industrial Automation is an academic unit specializing in mining technologies, occupational safety, and industrial process automation within the Silesian University of Technology.
-
A.
Faculty of Mining and Metallurgical Engineering
The Faculty of Mining and Metallurgical Engineering is an academic division specializing in education and research related to mineral resource extraction, processing, and materials metallurgy.
-
B.
Faculty of Mining and Petroleum Engineering
The Faculty of Mining and Petroleum Engineering is a specialized academic unit of Institut Teknologi Bandung focused on education and research in mining, petroleum, and related earth resource engineering disciplines.
-
C.
Faculty of Safety Engineering
The Faculty of Safety Engineering is a specialized faculty of VSB – Technical University of Ostrava focused on education and research in safety, risk management, and protection of people, property, and the environment.
-
D.
School of Mining Engineering
The School of Mining Engineering at the University of Tehran is a leading Iranian academic institution specializing in education and research in mining, mineral exploration, and related engineering fields.
-
E.
Faculty of Mining and Geology
The Faculty of Mining and Geology is an academic unit specializing in mining engineering, geology, and related earth sciences within the VSB – Technical University of Ostrava.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c6995f9c60819092e386192bd63c6f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7035df9348190ad3f3d845207bf4d |
completed | March 27, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be454e708190b410dada4f4f1e97 |
completed | March 29, 2026, 5:53 a.m. |
| NEDg | Description generation | batch_69c8bface14c8190a78d7ed43316bffd |
completed | March 29, 2026, 5:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c02e7a548190b2c5ad84e4c3f1fb |
completed | March 29, 2026, 6:01 a.m. |
Created at: March 27, 2026, 4:07 p.m.